Low complexity demapping algorithms survey in DVB-T2: Rotated constellation case study

  • Anne-Carole HONFOGA University of MONS
  • Michel DOSSOU University of Abomey-Calavi
  • Véronique MOEYAERT University of MONS


Signal Space Diversity (SSD) technique was adoptedin Digital Video Broadcasting-Terrestrial, second generation(DVB-T2) standard ten years ago to increase system performanceover fading channels. This technique consists of rotated andcyclic Q-delayed M-Quadrature Amplitude Modulation (QAM)and has been proposed without considering the complexityinduced by the demapper. "Genie Aided" demapping algorithmbased on iterative demapping has been presented in DVB-T2and lets this system approach the Shannon limit. Furthermore,this algorithm is not suitable for hardware implementation.Due to the complexity of the hardware implementation algo�rithms, the advantages of this rotated constellation have notbeen effectively exploited for network deployment. Moreover,receivers provided by manufacturers do not include suitabledemappers when this technique is applied. Therefore, several lowcomplexity algorithms have been proposed during the last decadein the scientific literature to reduce the number of metrics andoperators used in the demapping process. This paper presentsan exhaustive review of demappers proposed for DVB-T2 andall the low complexity demapping algorithms existing up to nowin the literature that is suitable for hardware implementation.Details about these algorithms are given in terms of reduction,parameters, performance and percentage of reduction obtained.
Feb 4, 2022
How to Cite
HONFOGA, Anne-Carole; DOSSOU, Michel; MOEYAERT, Véronique. Low complexity demapping algorithms survey in DVB-T2: Rotated constellation case study. International Journal of Information Science and Technology, [S.l.], v. 6, n. 1, p. 26 -37, feb. 2022. ISSN 2550-5114. Available at: <https://innove.org/ijist/index.php/ijist/article/view/180>. Date accessed: 27 nov. 2022. doi: http://dx.doi.org/10.57675/IMIST.PRSM/ijist-v6i1.180.
Special Issue : Smart Cities, Optimization and Modeling of Complex Systems